Sentence examples for model knowledge and from inspiring English sources

To facilitate automation, an ontology graph-based editor, Conceptual Graphs User Interface (CoGui) was used to model knowledge and encoded reasoning in the knowledge base.

We present two sequential inference algorithms: (i) a method based on particle filtering (PF) to estimate the time-evolving states of a neuron under the assumption of perfect model knowledge and (ii) an enhanced version where model parameters are jointly estimated, and thus, the rather strong assumption of perfect model knowledge is relaxed.

How can an adaptive algorithm be written to model knowledge and learning in a multidimensional learning space such as this?

These conscious acts are exchanged by what we may call interacts: inviting (attention), approving (perception), modelling (knowledge) and displaying (knowledge).

Speaking technically, GVA supports speech recognition and simple agent behaviors, whereas Siri understands language, models knowledge and applies logic, in addition.

Small-scale examples include Flexi-OLM (Mabbott and Bull 2004), which models knowledge and misconceptions in C programming based on multiple choice questions and short programming excerpts, and OLMlets (Bull et al. 2010), which models knowledge and misconceptions based on teacher-provided multiple choice questions on any subject.

As precision medicine and patient-centric care is realized via custom-designed 3D printed models, knowledge and technical aptitude for STL files will be for the many, rather than just for the few.

In [20], the authors analyze a wide variety of attacks in NCSs and establish the requirements for the attacks in terms of model knowledge, disclosure and disruption resources.

We introduce the notion of diagnostic specification morphism and some operations of diagnostic specifications that can be used to model knowledge transformation and fusion, respectively.

An attack space defined by the adversary's model knowledge, disclosure, and disruption resources is introduced.

The approach starts from basic concepts, uses a knowledge spiral to model knowledge flow patterns and operations, and lays down principles for knowledge flow network composition and evolution.